This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Savvy Data Analyst in Mexico.
This role offers a unique opportunity to work at the crossroads of data analytics, artificial intelligence, manufacturing operations, and digital transformation. You will leverage large-scale manufacturing, testing, and operational datasets to generate actionable insights that drive product quality, reliability, and business performance. Working in a highly collaborative and technology-driven environment, you will help modernize processes through automation, advanced analytics, and AI-powered solutions. The position combines hands-on data analysis with strategic problem-solving, enabling you to influence both engineering and operational decision-making. You will collaborate with cross-functional teams across manufacturing, quality, product, and IT functions while supporting innovative initiatives that improve efficiency and scalability. This is an ideal role for a data professional who is passionate about AI, analytics, and transforming complex data into meaningful business value.
Accountabilities:
- Extract, transform, and analyze large-scale manufacturing, testing, deployment, and operational datasets using advanced SQL and analytical techniques.
- Translate manufacturing, quality, and reliability concepts into measurable KPIs, reporting frameworks, and data-driven solutions.
- Conduct statistical analysis to identify trends, anomalies, root causes, and opportunities for process improvement and automation.
- Design and implement AI-driven solutions for workflow automation, anomaly detection, intelligent data mapping, and operational insights.
- Support the integration of AI and machine learning technologies into manufacturing and product operations processes.
- Develop, maintain, and optimize dashboards, reports, and visualizations using tools such as Power BI, Tableau, Looker Studio, or equivalent platforms.
- Prepare executive-level presentations and summaries that communicate complex technical findings in a clear and actionable manner.
- Collaborate with engineers, product teams, suppliers, and operational stakeholders to improve data quality, governance, and reporting capabilities.
- Support multiple projects simultaneously by tracking progress, identifying risks, and contributing to successful project delivery and change management initiatives.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Advanced SQL expertise with strong knowledge of data modeling, database structures, and normalization principles.
- Proficiency in Python or R for data analysis, statistical modeling, and data manipulation using modern analytics libraries.
- Strong analytical, statistical, and problem-solving skills with the ability to derive insights from complex datasets.
- Experience building dashboards, reports, and data visualization solutions that support operational and business decisions.
- Excellent written and verbal communication skills in English, with the ability to present findings to both technical and non-technical audiences.
- Experience with cloud-based data platforms such as BigQuery or equivalent data warehouse technologies is highly desirable.
- Familiarity with AI/ML technologies, Large Language Models (LLMs), workflow automation, and AI-enabled analytics solutions.
- Experience in manufacturing, quality engineering, test engineering, reliability engineering, or related operational environments is a strong advantage.
- Knowledge of data governance, data quality management, and master data management concepts is considered a plus.
Benefits:
- Flexible remote work model with adaptable working hours.
- Competitive salary and comprehensive compensation package.
- Opportunity to work on cutting-edge projects involving AI, analytics, and advanced manufacturing technologies.
- Exposure to global teams and international collaboration opportunities.
- Continuous learning and professional development in innovative technical domains.
- Additional paid day off for your birthday.
- Paid company shutdown period between Christmas and New Year.
- Inclusive and collaborative workplace culture with a strong focus on innovation and sustainability.
- Opportunity to contribute to projects that drive meaningful business, operational, and technological impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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